English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Machine learning-based and experimentally validated optimal adhesive fibril designs

Son, D., Liimatainen, V., & Sitti, M. (2021). Machine learning-based and experimentally validated optimal adhesive fibril designs. Small, 17(39): 2102867. doi:10.1002/smll.202102867.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0009-6A44-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-6A45-3
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Son, Donghoon1, 2, Author           
Liimatainen, Ville1, 2, Author           
Sitti, Metin1, 2, 3, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2054292              
3Dept. of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA, ou_persistent22              

Content

show
hide
Free keywords: Abt. Sitti
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2021-08-19
 Publication Status: Published online
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/smll.202102867
BibTex Citekey: son2021machine
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Small
  Other : Small
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Weinheim, Germany : Wiley-VCH
Pages: - Volume / Issue: 17 (39) Sequence Number: 2102867 Start / End Page: - Identifier: ISSN: 1613-6810
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017440_1